Natural Language Processing (NLP) – Course Overview

This course is designed to help learners understand how computers process, analyze, and generate human language using Natural Language Processing (NLP). You will learn the techniques behind chatbots, virtual assistants, sentiment analysis, language translation, and AI-powered text applications.

Through hands-on projects and real-world datasets, you will gain practical experience in text preprocessing, language modeling, NLP libraries, and building intelligent applications that understand and respond to human language.

What You’ll Learn

• Introduction to Natural Language Processing
• Text Preprocessing & Data Cleaning
• Tokenization, Stemming & Lemmatization
• Sentiment Analysis & Text Classification
• Named Entity Recognition (NER)
• Language Models & Word Embeddings
• NLP using Python, NLTK & spaCy
• Real-World NLP Projects & Applications